◦ Built and deployed an AI-powered chatbot using FastAPI, LangChain, LangGraph, and FAISS; integrated with existing systems to enable natural language queries on SQL Server. ◦ Created interactive chat UI components with Chart.js and Kendo UI for real-time data visualization. ◦ Extended the finance module by enabling e-invoicing in multiple regions by implementing integrations with ETA (Egypt) and ZATCA (Saudi Arabia). ◦ Added SIF generation support for Qatar’s Wage Protection System (WPS) to the payroll module. ◦ Automated CI/CD workflows via GitHub Actions, streamlining release cycles. ◦ Containerized the ASP.NET, Angular, and SQL Server stack as a multi-container Docker application.

• Developed a machine learning pipeline for predicting the QOS (quality of service) of a 5G mobile network using environmental variables (temperature, longitude, latitude) and RF measurements (RSRP, SNR, bandwidth). • Trained the pipeline on the Berlin V2X dataset achieving 7.97 mbit/s RMSE in predicting the QOS of the test split. • The pipeline used CatBoostRegressor . And incorporated feature engineering (one hot encoding, lag features) and hyperparameter tuning to improve performance.

Used ROS (Robot Operating System), the moveit library, and OpenCV to control a robotic arm via Arduino, utilizing camera feed for input.